Stability analysis of genetic regulatory networks with time-varying delay via new convex combination technique

Feisheng Yang, Dejun Mu, Jing He, Dongxu Huang
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Abstract

A new methodology is presented for the stability problem of genetic networks with time-varying delay in the current article. Novel stability criteria with delay dependency in terms of linear matrix inequalities for gene regulatory nets are derived by the proposed augmented Lyapunov-Krasovski (L-K) functional. Our proof deployment applies the technique of second order convex combination, and the property of quadratic convex function without resort to Jensen's inequality.
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基于新凸组合技术的时变时滞遗传调控网络稳定性分析
本文提出了一种求解时变时滞遗传网络稳定性问题的新方法。利用所提出的增广Lyapunov-Krasovski泛函,导出了具有线性矩阵不等式的基因调控网络的新的时滞依赖稳定性判据。我们的证明运用了二阶凸组合的技巧,利用了二次凸函数的性质,而不借助于Jensen不等式。
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